Producer preferences towards vertical coordination: The case of Canadian beef alliances
Bibliographic record
Abstract
A survey among cow-calf producers was conducted during 2006 in Western Canada, to assess producers’ preferences towards participation in beef alliances. Producers’ choices were analyzed by varying the degree of vertical coordination in hypothetical lliance participation, while controlling for producer and farm-specific characteristics to explore risk, transaction cost and incentive considerations in participation decisions. Estimates from the attribute-based choice experiments suggest that information sharing regarding animal performance, revenue-risk and residual claimancy are important factors for producers driving alliance choices. Overall, cowcalf producers are willing to move toward higher levels of vertical coordination based on individual animal performance. However, the estimates also suggest that producers consider the benefits from being able to access animal-specific yield and grade data to be smaller than the costs of bearing potentially greater revenue risk as a result of moving towards grid-based pricing, and the transaction costs associated with relationship-building in alliances.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".